Reconstruction of turbulent fluctuations for hybrid RANS/LES simulations using a Synthetic-Eddy Method

Jarrin, N; Prosser, Robert; Uribe, Juan; Benhamadouche, Sofiane; Laurence, Dominique

doi:10.1016/j.ijheatfluidflow.2009.02.016

Cited by 180 publications

(105 citation statements)

References 8 publications

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“…Following the classification proposed by Tabor, Wu highlights that research has led to the emergence of several synthetic techniques. Wu argues that recycling methods are less efficient than the synthetic counterparts and despite being highly accurate their additional costs and lack of generality restricts use with hybrid models [39].…”

Section: Rans To Les Interfacementioning

confidence: 99%

A Review of Embedded Large Eddy Simulation for Internal Flows

Holgate

Skillen

Craft

et al. 2018

Arch Computat Methods Eng

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When scale-resolving simulation approaches are employed for the simulation of turbulent flow, computational cost can often be prohibitive. This is particularly true for internal wall-bounded flows, including flows of industrial relevances which may involve both high Reynolds number and geometrical complexity. Modelling the turbulence induced stresses (at all scales) has proven to lack requisite accuracy in many situations. In this work we review a promising family of approaches which aim to find a compromise between cost and accuracy; hybrid RANS-LES methods. We place particular emphasis on the emergence of embedded large eddy simulation. These approaches are summarised and key features relevant to internal flows are highlighted. A thorough review of the application of these methods to internal flows is given, where hybrid approaches have been shown to offer significant benefits to industrial CFD (relative to an empirical broadband modelling of turbulence). This paper concludes by providing a cost-analysis and a discussion about the emerging novel use-modalities for hybrid RANS-LES methods in industrial CFD, such as automated embedded simulation and multi-dimensional coupling.

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Section: Rans To Les Interfacementioning

confidence: 99%

A Review of Embedded Large Eddy Simulation for Internal Flows

Holgate

Skillen

Craft

et al. 2018

Arch Computat Methods Eng

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“…Apart from the mean velocities the inlet conditions for LES domain also require the fluctuating velocities; these were generated using the synthetic eddy method (SEM) of Jarrin 16) with the inputs to SEM derived from the QSP-RANS fields. The sum of the mean and fluctuating velocities gives the instantaneous velocity conditions to the inlet of LES domain.…”

Section: Multiphase Large Eddy Simulations (Les)mentioning

confidence: 99%

Modeling of Slag Entrainment and Interfacial Mass Transfer in Gas Stirred Ladles

Senguttuvan

Irons

2017

ISIJ Int.

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“…In some calculations below, freestream turbulence has been introduced using a Synthetic Eddy Model (SEM) to provide fluctuating freestream velocity boundary conditions. The SEM model was developed (Jarrin et al [44], [45]) to provide LES inlet conditions. However, for the present application it was modified to provide physically realistic perturbations at a specified location in the freestream flow around the aerofoil (the 'SEM perturbation plane').…”

Section: Synthetic Eddy Model (Sem) For Freestream Turbulencementioning

confidence: 99%

“…Within the box the number of synthetic eddies considered is N; following Jarrin et al [45] this is calculated from N = V B /σ where V B is the box volume. The SEM constructs the fluctuating velocity components at any point n x in the SEM box from a sum of individual eddy contributions, thus:…”

Section: Synthetic Eddy Model (Sem) For Freestream Turbulencementioning

confidence: 99%

Simulation of Receptivity and Induced Transition From Discrete Roughness Elements

Mistry

Page

McGuirk

2015

Flow Turbulence Combust

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The WALE sub--grid stress (SGS) model was adopted for application to transitional flows, since it allows the SGS viscosity to vanish in laminar regions and in the innermost region of the boundary layer when transition begins. Simulations were carried out for two spanwise wavelengths: λ = 12mm (critical) and λ = 6mm (control), and for roughness heights (k) from 12µm to 42µm. The base flow considered was an ASU (67)--0315 aerofoil with 45 0 sweep at --2.9 0 incidence and with onset flow at a chord--based Reynolds number Re c = 2.4x10 6 . For λ = 12mm results showed, in accord with the experimental data, that the disturbance amplitude growth rate was linear for k = 12µm and 24µm, but the growth rate was decreased for k = 36µm. Receptivity to λ = 6mm roughness showed equally good agreement with experiments, indicating that this mode disappeared after a short distance to be replaced by a critical wavelength mode. Analysis of the development of modal disturbance amplitudes with downstream distance showed regions of linear, non--linear, saturation, and secondary instability behaviour. Examination of breakdown to turbulence revealed two possible routes: the first was 2D--like transition (probably Tollmien--Schlichting waves even in the presence of crossflow vortices) when transition occurred beyond the pressure minimum; the second was a classical crossflow vortex secondary instability, leading to the formation of a turbulent wedge.

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Reconstruction of turbulent fluctuations for hybrid RANS/LES simulations using a Synthetic-Eddy Method

Cited by 180 publications

References 8 publications

A Review of Embedded Large Eddy Simulation for Internal Flows

A Review of Embedded Large Eddy Simulation for Internal Flows

Modeling of Slag Entrainment and Interfacial Mass Transfer in Gas Stirred Ladles

Simulation of Receptivity and Induced Transition From Discrete Roughness Elements

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